What is the primary purpose of the discovering-make-commands skill?

It provides a comprehensive list of available make commands within the Streamlit repository to help developers build, test, and maintain the codebase efficiently.

Are there commands for e2e testing?

Yes, it includes commands for running Playwright e2e tests, debugging them, and updating visual snapshots.

Can I use this skill to run Streamlit frontend tests?

Yes, it identifies commands like 'make frontend-tests' and 'make frontend-dev' to help you manage the frontend environment and testing suite.

How does this help with Streamlit contributions?

It reduces friction for contributors by making it easy to find the correct commands for linting, formatting, and verifying code changes before submission.

Does this skill support Python environment setup?

Absolutely. It lists commands for initializing Python dependencies, running unit tests, and performing type checks.

Streamlit Workflows

Name: Streamlit Workflows
Author: streamlit

bystreamlit

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43,631

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セキュリティとテスト

Streamlines Streamlit development by discovering and explaining available make commands for building, testing, and maintenance.

This skill acts as an interactive reference for the Streamlit development environment, allowing developers to quickly identify and execute the correct Makefile commands for various tasks. It covers everything from initial environment setup and protobuf compilation to complex frontend builds and extensive testing suites (unit, integration, and e2e). By surfacing these commands within Claude, it reduces the need for manual documentation lookups, ensuring contributors can efficiently manage linting, formatting, and snapshot updates while working on the Streamlit codebase.

主な機能

0143,631 GitHub stars

02Instant discovery of all Streamlit-specific make commands

03Automated linting and formatting command reference

04Support for updating visual snapshots and dependency notices

05Access to specialized testing workflows including Playwright e2e

06Guidance for both Python and frontend environment initialization

ユースケース

01Setting up a local Streamlit development environment and building the frontend

02Debugging end-to-end tests and updating Playwright snapshots

03Running automated checks and unit tests before submitting a pull request

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add streamlit/streamlit discovering-make-commands

For use in Claude.ai and ChatGPT

Download Skill